Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 1 |
Descriptor
Rural Youth | 4 |
Urban Youth | 4 |
Dropouts | 2 |
Educational Benefits | 2 |
Inner City | 2 |
Intelligence | 2 |
Males | 2 |
Motivation | 2 |
National Surveys | 2 |
Postsecondary Education | 2 |
Private Schools | 2 |
More ▼ |
Source
Journal of Rural Health | 1 |
Worklife | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 1 |
Education Level
Audience
Location
United States | 4 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lambert, David; Gale, John A.; Hartley, David – Journal of Rural Health, 2008
Purpose: Addressing substance abuse in rural America requires extending our understanding beyond urban-rural comparisons to how substance abuse varies across rural communities of different sizes. We address this gap by examining substance abuse prevalence across 4 geographic levels, focusing on youth (age 12-17 years) and young adults (age 18-25…
Descriptors: Rural Youth, Substance Abuse, Incidence, Prevention
Westcott, Diane N. – Worklife, 1977
Discusses the problem of youth unemployment and describes a study (utilizing metropolitan and nonmetropolitan area data gathered through the Current Population Survey during 1976) which focused on youth labor force participation and employment patterns. (WL)
Descriptors: Employment Patterns, Federal Programs, Racial Differences, Rural Youth
Olson, Lawrence S. – 1978
A study examined decisions involving private, postsecondary vocational schooling using three large, national sets of data (from the National Longitudinal Surveys) on males. Particular attention is paid to three target groups--inner-city and rural individuals and dropouts. Various equations were estimated using a life-cycle model of time allocation…
Descriptors: Dropouts, Educational Benefits, Inner City, Intelligence
Olson, Lawrence S. – 1978
A study examined decisions involving private, postsecondary vocational schooling using three large, national sets of data (from the National Longitudinal Surveys) on males. Particular attention is paid to three target groups: inner-city and rural individuals and dropouts. Various equations were estimated using a life-cycle model of time allocation…
Descriptors: Dropouts, Educational Benefits, Inner City, Intelligence